.png){kind=logo}
Vetted Random Forest Professionals
Pre-screened and vetted.
Principal/Senior Architect specializing in AI platforms and cybersecurity
Junior Software Engineer specializing in AI/ML and recommendation systems
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Mid-Level Software Engineer specializing in backend systems, payments tokenization, and ML
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Sason Torosean
Principal Data Scientist specializing in financial risk, forecasting, and applied ML
“ML/NLP practitioner and technical founder who built an AUP risk-scoring model at Bill.com using TF-IDF + SVD features with XGBoost, and previously created automated data-quality guardrails for a Global Equity Risk stacked ML model at Thomson Reuters. Recently built a RAG-based chatbot for PaymentJock’s Home Affordability Probability product using embeddings and a local vector database (FAISS/Chroma), improving answer quality through chunking rather than expensive fine-tuning.”
Emma Clausen
Senior Full-Stack Engineer specializing in web platforms and mobile apps
“Backend/platform engineer with experience at Microsoft, Uber, and Gusto building production AI-agent automation systems in Python (AutoGen) and cloud-native microservices on Kubernetes across AWS/Azure. Has delivered zero-downtime migrations and high-throughput real-time streaming pipelines (Kafka/WebSockets/Redis), and is strong in GitOps/ArgoCD-driven CI/CD with reliable rollouts and rapid rollback.”
Jayashree Raman
Director-level Data Architecture & Governance leader specializing in cloud analytics platforms
“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”
Junior Software Development Engineer specializing in AI agents and personalization
Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems